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Forecast Models for Private Consumption

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  • Peussa, Aleksandr

Abstract

The share of private consumption in gross domestic product is significant; therefore, private consumption has a great influence on economic growth, which makes it a major concept in economics. The purpose of the paper is to estimate and evaluate different forecasting models for private consumption. The first part of the paper focuses on the aggregate consumption. The models are estimated using yearly and quarterly data. The goal of second part of the paper is to estimate and evaluate forecasting models for the components of private consumption. Private consumption can be divided by the duration principle or by product categories. There are three competing statistical models for components of private consumption. All models are presented in the second part of the report and the aim is to choose the best model using statistical methods of model evaluation (R-squared, AIC, BIC).

Suggested Citation

  • Peussa, Aleksandr, 2014. "Forecast Models for Private Consumption," ETLA Reports 34, The Research Institute of the Finnish Economy.
  • Handle: RePEc:rif:report:34
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    More about this item

    Keywords

    Aggregate consumption; Private consumption; Economic forecasts; Logistic regression;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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